SAS/STAT(R) 9.2 User's Guide
Acknowledgments
Whats New in SAS/STAT- Overview
- CALIS Procedure
- CLUSTER Procedure
- CORRESP Procedure
- FACTOR Procedure
- FREQ Procedure
- GAM Procedure
- GENMOD Procedure
- GLIMMIX Procedure
- GLM Procedure
- GLMPOWER Procedure
- GLMSELECT Procedure
- HPMIXED Procedure (Experimental)
- KRIGE2D Procedure
- LIFEREG Procedure
- LIFETEST Procedure
- LOGISTIC Procedure
- LOESS Procedure
- Macros
- MCMC Procedure (Experimental)
- MDS Procedure
- MIXED Procedure
- MULTTEST Procedure
- NLIN Procedure
- NLMIXED Procedure
- NPAR1WAY Procedure
- PHREG Procedure
- PLS Procedure
- POWER Procedure
- PRINCOMP Procedure
- PRINQUAL Procedure
- PROBIT Procedure
- PSS Application
- QUANTREG Procedure
- REG Procedure
- RSREG Procedure
- SEQDESIGN Procedure (Experimental
- SEQTEST Procedure (Experimental)
- SIM2D Procedure
- SIMNORMAL Procedure
- STDIZE Procedure
- SURVEYFREQ Procedure
- SURVEYLOGISTIC Procedure
- SURVEYMEANS Procedure
- SURVEYREG Procedure
- SURVEYSELECT Procedure
- TCALIS Procedure (Experimental)
- TRANSREG Procedure
- TTEST Procedure
- VARCOMP Procedure
- VARIOGRAM Procedure
- Introduction
- Introduction to Statistical Modeling with SAS/STAT Software
- Introduction to Regression Procedures
- Introduction to Analysis of Variance Procedures
- Introduction to Mixed Modeling Procedures
- Introduction to Bayesian Analysis Procedures
- Introduction to Categorical Data Analysis Procedures
- Introduction to Multivariate Procedures
- Introduction to Discriminant Procedures
- Introduction to Clustering Procedures
- Introduction to Scoring, Standardization, and Ranking Procedures
- Introduction to Survival Analysis Procedures
- Introduction to Survey Sampling and Analysis Procedures
- The Four Types of Estimable Functions
- Introduction to Nonparametric Analysis
- Introduction to Structural Equation Modeling with Latent Variables
- Overview: Structural Equation Modeling with Latent Variables
- TCALIS and CALIS Procedures
- Comparison of the TCALIS and SYSLIN Procedures
- Model Specification
- Estimation Methods
- Statistical Inference
- Goodness-of-Fit Statistics
- Optimization Methods
- Structural Equation Models and the LINEQS Modeling Language
- Path Diagrams and the PATH Modeling Language
- Some Measurement Models
- A Combined Measurement-Structural Model with Reciprocal Influence and Correlated Residuals
- References
- Shared Concepts and Topics
- Introduction to Power and Sample Size Analysis
- Using the Output Delivery System
- Statistical Graphics Using ODS
- Introduction
- Getting Started with ODS Statistical Graphics
- A Primer on ODS Statistical Graphics
- Syntax
- Selecting and Viewing Graphs
- Graphics Image Files
- Graph Size and Resolution
- ODS Graph Editor
- The Default Template Libraries and the ODS PATH
- Styles
- Graph Templates
- Statistical Graphics Procedures
- Examples of ODS Statistical Graphics
- The ACECLUS Procedure
- The ANOVA Procedure
- The BOXPLOT Procedure
- The CALIS Procedure
- The CANCORR Procedure
- The CANDISC Procedure
- The CATMOD Procedure
- The CLUSTER Procedure
- The CORRESP Procedure
- The DISCRIM Procedure
- The DISTANCE Procedure
- The FACTOR Procedure
- The FASTCLUS Procedure
- The FREQ Procedure
- The GAM Procedure
- The GENMOD Procedure
- The GLIMMIX Procedure
- The GLM Procedure
- The GLMMOD Procedure
- The GLMPOWER Procedure
- The GLMSELECT Procedure
- The HPMIXED Procedure
- The INBREED Procedure
- The KDE Procedure
- The KRIGE2D Procedure
- The LATTICE Procedure
- The LIFEREG Procedure
- The LIFETEST Procedure
- The LOESS Procedure
- The LOGISTIC Procedure
- The MCMC Procedure
- The MDS Procedure
- The MI Procedure
- The MIANALYZE Procedure
- The MIXED Procedure
- The MODECLUS Procedure
- The MULTTEST Procedure
- The NESTED Procedure
- The NLIN Procedure
- The NLMIXED Procedure
- The NPAR1WAY Procedure
- The ORTHOREG Procedure
- The PHREG Procedure
- The PLAN Procedure
- The PLS Procedure
- The POWER Procedure
- The Power and Sample Size Application
- The PRINCOMP Procedure
- The PRINQUAL Procedure
- The PROBIT Procedure
- The QUANTREG Procedure
- The REG Procedure
- The ROBUSTREG Procedure
- The RSREG Procedure
- The SCORE Procedure
- The SEQDESIGN Procedure
- The SEQTEST Procedure
- The SIM2D Procedure
- The SIMNORMAL Procedure
- The STDIZE Procedure
- The STEPDISC Procedure
- The SURVEYFREQ Procedure
- The SURVEYLOGISTIC Procedure
- The SURVEYMEANS Procedure
- The SURVEYREG Procedure
- The SURVEYSELECT Procedure
- The TCALIS Procedure
- The TPSPLINE Procedure
- The TRANSREG Procedure
- The TREE Procedure
- The TTEST Procedure
- The VARCLUS Procedure
- The VARCOMP Procedure
- The VARIOGRAM Procedure
- Special SAS Data Sets
Index here
| Product | Release |
|---|---|
| SAS/STAT | 9.2 |
- Type
- Usage and Reference
- Copyright Date
- March 2008
- Last Updated
- 15Apr2008
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| What’s New in SAS/STAT |
GLM Procedure
New graphics are now produced for means and for LS-means comparisons. The experimental EFFECTSIZE option in the MODEL statement adds measures of effect size to many analysis of variance tables. The PLOTS=DIAGNOSTICS and the PLOTS=RESIDUAL options in the PROC GLM statement produce summary diagnostics and residual plots, respectively.
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Copyright © 2007 by SAS Institute Inc., Cary, NC, USA. All rights reserved.